High-Dose Acetaminophen with Concurrent CYP2E1 Inhibition Has Profound Anticancer Activity without Liver Toxicity.

Acetaminophen (AAP) is metabolized by a variety of pathways such as sulfation, glucuronidation, and fatty acid amide hydrolase-mediated conversion to the active analgesic metabolite AM404. CYP2E1-mediated metabolism to the hepatotoxic reactive metabolite NAPQI (N-acetyl-p-benzoquinone imine) is a minor metabolic pathway that has not been linked to AAP therapeutic benefits yet clearly leads to AAP liver toxicity. N-acetylcysteine (NAC) (an antioxidant) and fomepizole (a CYP2E1 inhibitor) are clinically used for the treatment of AAP toxicity. Mice treated with AAP in combination with fomepizole (plus or minus NAC) were assessed for liver toxicity by histology and serum chemistry. The anticancer activity of AAP with NAC and fomepizole rescue was assessed in vitro and in vivo. Fomepizole with or without NAC completely prevented AAP-induced liver toxicity. In vivo, high-dose AAP with NAC/fomepizole rescue had profound antitumor activity against commonly used 4T1 breast tumor and lewis lung carcinoma lung tumor models, and no liver toxicity was detected. The antitumor efficacy was reduced in immune-compromised NOD-scid IL2Rgammanull mice, suggesting an immune-mediated mechanism of action. In conclusion, using fomepizole-based rescue, we were able to treat mice with 100-fold higher than standard dosing of AAP (650 mg/kg) without any detected liver toxicity and substantial antitumor activity. SIGNIFICANCE STATEMENT: High-dose acetaminophen can be given concurrently with CYP2E1 inhibition to allow for safe dose escalation to levels needed for anticancer activity without detected evidence of toxicity.

Moving Toward Findable, Accessible, Interoperable, Reusable Practices in Epidemiologic Research.

Data sharing is essential for reproducibility of epidemiologic research, replication of findings, pooled analyses in consortia efforts, and maximizing study value to address multiple research questions. However, barriers related to confidentiality, costs, and incentives often limit the extent and speed of data sharing. Epidemiological practices that follow Findable, Accessible, Interoperable, Reusable (FAIR) principles can address these barriers by making data resources findable with the necessary metadata, accessible to authorized users, and interoperable with other data, to optimize the reuse of resources with appropriate credit to its creators. We provide an overview of these principles and describe approaches for implementation in epidemiology. Increasing degrees of FAIRness can be achieved by moving data and code from on-site locations to remote, accessible ("Cloud") data servers, using machine-readable and nonproprietary files, and developing open-source code. Adoption of these practices will improve daily work and collaborative analyses and facilitate compliance with data sharing policies from funders and scientific journals. Achieving a high degree of FAIRness will require funding, training, organizational support, recognition, and incentives for sharing research resources, both data and code. However, these costs are outweighed by the benefits of making research more reproducible, impactful, and equitable by facilitating the reuse of precious research resources by the scientific community.

Machine learning for predicting diabetic metabolism in the Indian population using polar metabolomic and lipidomic features.

AIMS: To identify metabolite and lipid biomarkers of diabetes in the Indian subpopulation in newly diagnosed diabetic and long-term diabetic individuals. To utilize the global polar metabolomic and lipidomic profiles to predict the susceptibility of an individual to diabetes using machine learning algorithms. MATERIALS AND METHODS: 87 individuals, including healthy, newly diabetic, and long-term diabetics on medication, were included in the study. Post consent, their serum was used to isolate polar metabolome and lipidome. NMR and LCMS were used to identify the polar metabolites and lipids, respectively. Statistical analysis was done to determine significantly altered molecules. NMR and LCMS comprehensive data were utilized to generate diabetic models using machine learning algorithms. 10 more individuals (pre-diabetic) were recruited, and their polar metabolomic and lipidomic profiles were generated. Pre-diabetic metabolic profiles were then utilized to predict the diabetic status of the metabolome and lipidome beyond glucose levels. RESULTS: Mannose, Betaine, Xanthine, Triglyceride (38:1), Sphingomyelin (d63:7), and Phosphatidic acid (37:2) are some of the top key biomarkers of diabetes. The predictive model generated showed the receiver operating characteristic area under the curve (ROC-AUC) as 1 on both test and validation data indicating excellent accuracy. This model then predicted the diabetic closeness of the metabolism of pre-diabetic individuals based on probability scores. CONCLUSION: Polar metabolic and lipid profile of diabetic individuals is very different from that of healthy individuals. Lipid profile alters before the polar metabolic profile in diabetes-susceptible individuals. Without regard to glucose, the diabetic closeness of the metabolism of any individual can be determined.

Quest markup for developing FAIR questionnaire modules for epidemiologic studies.

BACKGROUND: Online questionnaires are commonly used to collect information from participants in epidemiological studies. This requires building questionnaires using machine-readable formats that can be delivered to study participants using web-based technologies such as progressive web applications. However, the paucity of open-source markup standards with support for complex logic make collaborative development of web-based questionnaire modules difficult. This often prevents interoperability and reusability of questionnaire modules across epidemiological studies. RESULTS: We developed an open-source markup language for presentation of questionnaire content and logic, Quest, within a real-time renderer that enables the user to test logic (e.g., skip patterns) and view the structure of data collection. We provide the Quest markup language, an in-browser markup rendering tool, questionnaire development tool and an example web application that embeds the renderer, developed for The Connect for Cancer Prevention Study. CONCLUSION: A markup language can specify both the content and logic of a questionnaire as plain text. Questionnaire markup, such as Quest, can become a standard format for storing questionnaires or sharing questionnaires across the web. Quest is a step towards generation of FAIR data in epidemiological studies by facilitating reusability of questionnaires and data interoperability using open-source tools.

Mortality Tracker: the COVID-19 case for real time web APIs as epidemiology commons.

MOTIVATION: Mortality Tracker is an in-browser application for data wrangling, analysis, dissemination and visualization of public time series of mortality in the United States. It was developed in response to requests by epidemiologists for portable real time assessment of the effect of COVID-19 on other causes of death and all-cause mortality. This is performed by comparing 2020 real time values with observations from the same week in the previous 5 years, and by enabling the extraction of temporal snapshots of mortality series that facilitate modeling the interdependence between its causes. RESULTS: Our solution employs a scalable 'Data Commons at Web Scale' approach that abstracts all stages of the data cycle as in-browser components. Specifically, the data wrangling computation, not just the orchestration of data retrieval, takes place in the browser, without any requirement to download or install software. This approach, where operations that would normally be computed server-side are mapped to in-browser SDKs, is sometimes loosely described as Web APIs, a designation adopted here. AVAILABILITYAND IMPLEMENTATION: https://episphere.github.io/mortalitytracker; webcast demo: youtu.be/ZsvCe7cZzLo. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Therapeutic Targeting of Vasculature in the Premetastatic and Metastatic Niches Reduces Lung Metastasis.

In the metastasis-targeted organs, angiogenesis is essential for the progression of dormant micrometastases to rapidly growing and clinically overt lesions. However, we observed changes suggesting angiogenic switching in the mouse lungs prior to arrival of tumor cells (i.e., in the premetastatic niche) in the models of breast carcinoma. This angiogenic switching appears to be caused by myeloid-derived suppressor cells recruited to the premetastatic lungs through complement C5a receptor 1 signaling. These myeloid cells are known to secrete several proangiogenic factors in tumors, including IL-1ß and matrix metalloproteinase-9, and we found upregulation of these genes in the premetastatic lungs. Blockade of C5a receptor 1 synergized with antiangiogenic Listeria monocytogenes-based vaccines to decrease the lung metastatic burden by reducing vascular density and improving antitumor immunity in the lungs. This was mediated even when growth of primary breast tumors was not affected by these treatments. This work provides initial evidence that angiogenesis contributes to the premetastatic niche in rapidly progressing cancers and that inhibiting this process through immunotherapy is beneficial for reducing or even preventing metastasis.

Glycan Modulation of Insulin-like Growth Factor-1 Receptor.

The insulin-like growth factor-1 receptor (IGF-1R) is a receptor tyrosine kinase (RTK) that plays critical roles in cancer. Microarray, computational, thermodynamic, and cellular imaging studies reveal that activation of IGF-1R by its cognate ligand IGF1 is inhibited by shorter, soluble heparan sulfate (HS) sequences (e.g., HS06), whereas longer polymeric chains do not inhibit the RTK, a phenomenon directly opposed to the traditional relationship known for GAG-protein systems. The inhibition arises from smaller oligosaccharides binding in a unique pocket in the IGF-1R ectodomain, which competes with the natural cognate ligand IGF1. This work presents a highly interesting observation on preferential and competing inhibition of IGF-1R by smaller sequences, whereas polysaccharides are devoid of this function. These insights will be of major value to glycobiologists and anti-cancer drug discoverers.

Introducing of potent cytotoxic novel 2-(aroylamino)cinnamamide derivatives against colon cancer mediated by dual apoptotic signal activation and oxidative stress.

Curcumin and trans-cinnamaldehyde are acrolein-based Michael acceptor compounds that are commonly found in domestic condiments, and known to cause cancer cell death via redox mechanisms. Based on the structural features of these compounds we designed and synthesized several 2-cinnamamido-N-substituted-cinnamamide (bis-cinnamamide) compounds. One of the derivatives, (Z)-2-[(E)-cinnamamido]-3-phenyl-N-propylacrylamide 8 showed a moderate antiproliferative potency (HCT-116 cell line inhibition of 32.0 µM), no inhibition of normal cell lines C-166, and proven cellular activities leading to apoptosis. SAR studies led to more than 10-fold increase in activity. Our most promising compound, [(Z)-3-(1H-indol-3-yl)-N-propyl-2-[(E)-3-(thien-2-yl)propenamido)propenamide] 45 killed colon cancer cells at IC50 = 0.89 µM (Caco-2), 2.85 µM (HCT-116) and 1.65 µM (HT-29), while exhibiting much weaker potency on C-166 and BHK normal cell lines (IC50 = 71 µM and 77.6 µM, respectively). Cellular studies towards identifying the compounds mechanism of cytotoxic activities revealed that apoptotic induction occurs in part as a result of oxidative stress. Importantly, the compounds showed inhibition of cancer stem cells that are critical for maintaining the potential for self-renewal and stemness. The results presented here show discovery of covalently acting Michael addition compounds that potently kill cancer cells by a defined mechanism, with prominent selectivity profile over non-cancerous cell lines.

Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model.

BACKGROUND: High-throughput sequencing experiments, which can determine allele origins, have been used to assess genome-wide allele-specific expression. Despite the amount of data generated from high-throughput experiments, statistical methods are often too simplistic to understand the complexity of gene expression. Specifically, existing methods do not test allele-specific expression (ASE) of a gene as a whole and variation in ASE within a gene across exons separately and simultaneously. RESULTS: We propose a generalized linear mixed model to close these gaps, incorporating variations due to genes, single nucleotide polymorphisms (SNPs), and biological replicates. To improve reliability of statistical inferences, we assign priors on each effect in the model so that information is shared across genes in the entire genome. We utilize Bayesian model selection to test the hypothesis of ASE for each gene and variations across SNPs within a gene. We apply our method to four tissue types in a bovine study to de novo detect ASE genes in the bovine genome, and uncover intriguing predictions of regulatory ASEs across gene exons and across tissue types. We compared our method to competing approaches through simulation studies that mimicked the real datasets. The R package, BLMRM, that implements our proposed algorithm, is publicly available for download at https://github.com/JingXieMIZZOU/BLMRM . CONCLUSIONS: We will show that the proposed method exhibits improved control of the false discovery rate and improved power over existing methods when SNP variation and biological variation are present. Besides, our method also maintains low computational requirements that allows for whole genome analysis.

Precision Medicine for CRC Patients in the Veteran Population: State-of-the-Art, Challenges and Research Directions.

Colorectal cancer (CRC) accounts for ~9% of all cancers in the Veteran population, a fact which has focused a great deal of the attention of the VA's research and development efforts. A field-based meeting of CRC experts was convened to discuss both challenges and opportunities in precision medicine for CRC. This group, designated as the VA Colorectal Cancer Cell-genomics Consortium (VA4C), discussed advances in CRC biology, biomarkers, and imaging for early detection and prevention. There was also a discussion of precision treatment involving fluorescence-guided surgery, targeted chemotherapies and immunotherapies, and personalized cancer treatment approaches. The overarching goal was to identify modalities that might ultimately lead to personalized cancer diagnosis and treatment. This review summarizes the findings of this VA field-based meeting, in which much of the current knowledge on CRC prescreening and treatment was discussed. It was concluded that there is a need and an opportunity to identify new targets for both the prevention of CRC and the development of effective therapies for advanced disease. Also, developing methods integrating genomic testing with tumoroid-based clinical drug response might lead to more accurate diagnosis and prognostication and more effective personalized treatment of CRC.

Postlaryngectomy pharyngoplasty with melolabial flap.

To the best of our knowledge, this is the largest case series describing the use of a melolabial flap for postlaryngectomy pharyngoplasty. It is an excellent alternative for pharyngoplasty, especially in cases post chemoradiotherapy. It accomplishes the goal while removing the restrictions of local and distant flaps. Although donor site morbidity is acceptable, specific consent is required due to the possibility of functional and cosmetic impairment. Additional cases with a larger sample size and a longer follow-up period can assist corroborate our first findings. In addition, because we tend to protect facial vessels for this flap, a follow-up about the compromise of oncological safety at level IB is required. In our case series, however, there was no recurrence until the final follow-up. As a result, it is a better option to pharyngoplasty post laryngectomy.

Single nuclear RNA sequencing of terminal ileum in patients with cirrhosis demonstrates multi-faceted alterations in the intestinal barrier.

Patients with cirrhosis have intestinal barrier dysfunction but the role of the individual cell types in human small intestine is unclear. We performed single-nuclear RNA sequencing (snRNAseq) in the pinch biopsies of terminal ileum of four age-matched men [56 years, healthy control, compensated, early (ascites and lactulose use) and advanced decompensated cirrhosis (ascites and rifaximin use)]. Cell type proportions, differential gene expressions, cell-type specific pathway analysis using IPA, and cellular crosstalk dynamics were compared. Stem cells, enterocytes and Paneth cells were lowest in advanced decompensation. Immune cells like naive CD4 + T cells were lowest while ITGAE + cells were highest in advanced decompensation patients. MECOM had lowest expression in stem cells in advanced decompensation. Defensin and mucin sulfation gene (PAPSS2) which can stabilize the mucus barrier expression were lowest while IL1, IL6 and TNF-related genes were significantly upregulated in the enterocytes, goblet, and Paneth cells in decompensated subjects. IPA analysis showed higher inflammatory pathways in enterocytes, stem, goblet, and Paneth cells in decompensated patients. Cellular crosstalk analysis showed that desmosome, protease-activated receptors, and cadherin-catenin complex interactions were most perturbed in decompensated patients. In summary, the snRNAseq of the human terminal ileum in 4 subjects (1 control and three cirrhosis) identified multidimensional alteration in the intestinal barrier with lower stem cells and altered gene expression focused on inflammation, mucin sulfation and cell-cell interactions with cirrhosis decompensation.

Post Surgical Outcomes in Paediatric Adenotonsillar Hypertrophy with Obstructive Sleep Apnea: Subjective and Objective Evaluation.

The aim of the study was to determine the post surgical outcomes in pediatric adenotonsillar hypertrophy with OSA using portable polysomnography (PSG), OSA 18 Questionnaire and Quality of life (QoL) scores. Secondly to correlate the subjective outcomes with objective scores of polysomonography. A prospective, single-arm, nonrandomized, single center study was performed at a tertiary care centre on children aged 3-12 years (n = 30) with adenoid hypertrophy/ tonsillar hypertrophy/adenotonsillar hypertrophy and symptoms suggestive of OSA. All subjects underwent appropriate surgical intervention. A portable PSG and OSA 18 questionnaire evaluation was performed pre surgery and 06 weeks post surgery to assess objective and clinical assessment for OSA. The mean age of children enrolled in the study was 8.68 ± 3 years. The mean pre treatment AHI was 12.56 ± 13.16 which improved to 1.72 ± 1.53 post surgery and was statistically significant (p < 0.05, Wilcoxon signed rank test). There was a statistically significant improvement in other PSG indices such as RDI and ODI post surgery also. The mean total symptom score (TSS) and QoL score also showed a statistically significant improvement post treatment (p < 0.05). However there was no correlation between the PSG and OSA 18 questionnaire scores pre and post surgery. Children with OSA like symptoms can undergo a portable polysomnography pre and post surgery to demonstrate severity of OSA and objectively monitor improvement in OSA post treatment. In the absence of availability of PSG, OSA 18 questionnaire is a suitable alternative to monitor disease severity and outcomes. Further studies may plan to include impact of paediatric OSA on other function such as the cardiac, dentition & malocclusion and neurocognitive function.

High-Dose Acetaminophen with N-acetylcysteine Rescue Inhibits M2 Polarization of Tumor-Associated Macrophages.

High-dose acetaminophen (AAP) with N-acetylcysteine (NAC) rescue is among the few treatments that has shown activity in phase I trials without achieving dose-limiting toxicity that has not progressed to evaluation in later line studies. While the anti-tumor effects of AAP/NAC appear not to be mediated by glutathione depletion and free radical injury, the mechanism of anti-tumor effects of AAP/NAC has not been definitively characterized. In vitro, the effects of AAP/NAC were evaluated on bone marrow derived macrophages. Effects of AAP on IL-4/STAT6 (M2) or IFN/LPS/STAT1 (M1) signaling and downstream gene and protein expression were studied. NAC reversed the AAP toxicity in the normal liver but did not reverse AAP cytotoxicity against tumor cells in vitro. AAP/NAC selectively inhibited IL-4-induced STAT6 phosphorylation but not IFN/LPS-induced STAT1 phosphorylation. Downstream, AAP/NAC inhibited IL-4 induction of M2-associated genes and proteins but did not inhibit the IFN/LPS induction of M1-associated genes and proteins. In vivo, AAP/NAC inhibited tumor growth in EF43.fgf4 and 4T1 triple-negative breast tumors. Flow cytometry of tumor-associated macrophages revealed that AAP/NAC selectively inhibited M2 polarization. The anti-tumor activity of high-dose AAP/NAC is lost in macrophage-depleted mouse syngeneic tumor models, suggesting a macrophage-dependent mechanism of action. In conclusion, our study is the first to show that high-dose AAP/NAC has profound effects on the tumor immune microenvironment that facilitates immune-mediated inhibition of tumor growth.

Designing Synthetic, Sulfated Glycosaminoglycan Mimetics That Are Orally Bioavailable and Exhibiting In Vivo Anticancer Activity.

Sulfated glycosaminoglycans (GAGs), or synthetic mimetics thereof, are not favorably viewed as orally bioavailable drugs owing to their high number of anionic sulfate groups. Devising an approach for oral delivery of such highly sulfated molecules would be very useful. This work presents the concept that conjugating cholesterol to synthetic sulfated GAG mimetics enables oral delivery. A focused library of sulfated GAG mimetics was synthesized and found to inhibit the growth of a colorectal cancer cell line under spheroid conditions with a wide range of potencies ( 0.8 to 46 µM). Specific analogues containing cholesterol, either alone or in combination with clinical utilized drugs, exhibited pronounced in vivo anticancer potential with intraperitoneal as well as oral administration, as assessed by ex vivo tertiary and quaternary spheroid growth, cancer stem cell (CSC) markers, and/or self-renewal factors. Overall, cholesterol derivatization of highly sulfated GAG mimetics affords an excellent approach for engineering oral activity.

Optimized vitamin D repletion with oral thin film cholecalciferol in patients undergoing stem cell transplant.

Vitamin D deficiency is common in childhood, pervasive before and after bone marrow transplant, and is associated with increased incidence of graft-versus-host disease (GVHD) and decreased survival in patients undergoing hematopoietic stem cell transplant (HSCT). Numerous barriers impede replacement, including malabsorption secondary to gut GVHD, mucositis, inability to take capsules, kidney disease, liver disease, and infection; many patients remain refractory despite vitamin D therapy. We hypothesized that a different formulation of cholecalciferol, administered on the tongue as a readily dissolving oral thin film (OTF), would ease administration and facilitate therapeutic vitamin D levels (>35 ng/mL) in patients who are refractory. In this prospective pilot study, we evaluated 20 patients after HSCT (range, day +21 - day +428 at enrollment) with serum vitamin D levels ≤35 ng/mL. Cholecalciferol OTF strips were administered for 12 weeks. Dosing was based on patient body weight and titrated per individual pharmacokinetics. Wilcoxon matched-pairs signed-rank test demonstrated marked improvement in all 20 patients who were formerly refractory, increasing from a median baseline vitamin D level of 29.2 ng/mL to 58 ng/mL at end of study (P < .0001). All patients demonstrated improvement in serum vitamin D level by week 4 on study, some of whom had been refractory for years prior. Median dose was 1 OTF strip (40 000 IU) per week. No toxicity was observed. This formulation proved to be safe, effective, efficient, and well received. We are eager to explore other patient populations, which might benefit from this promising development, and other therapeutics that might be optimized using this mode of delivery. This trial was registered at www.clinicaltrials.gov as #NCT04818957.

epiDonate - distributed serverless data infrastructure for epidemiological studies.

Motivation: Epidemiological studies face two important challenges: the need to ingest ever more complex data types, and mounting concerns about participant privacy and data governance. These two challenges are compounded by the expectation that data infrastructure will eventually need to facilitate cross-registration of participants by multiple epidemiological studies. Implementation: The portable web-service epiDonate was developed using the serverless model known as FaaS (Function-as-a-Service). The reference implementation uses nodejs. The implementation relies on a simple tokenization scheme, mediated by a public API, that a) distinguishes admin from participant roles, with b) extensible permission configuration operating a read/write structure. General Features: The critical design feature of epiDonate is the absence of business logic on the server-side (the web service). The simplicity removes the need to customize virtual machines and enables ecosystems of multiple web Applications backed by one or more data donation deployments. Availability: https://episphere.github.io/donate.

MicroRNA-21 induces stemness by downregulating transforming growth factor beta receptor 2 (TGFßR2) in colon cancer cells.

Although microRNA-21 (miR-21) is emerging as an oncogene and has been shown to target several tumor suppressor genes, including programmed cell death 4 (PDCD4), its precise mechanism of action on cancer stem cells (CSCs) is unclear. Herein, we report that FOLFOX-resistant HCT-116 and HT-29 cells that are enriched in CSCs show a 3- to 7-fold upregulation of pre- and mature miR-21 and downregulation of PDCD4. Likewise, overexpression of miR-21 in HCT-116 cells, achieved through stable transfection, led to the downregulation of PDCD4 and transforming growth factor beta receptor 2 (TGFßR2). In contrast, the levels of ß-catenin, TCF/LEF activity and the expression of c-Myc, Cyclin-D, which are increased in CSCs, are also augmented in miR-21 overexpressing colon cancer cells, accompanied by an increased sphere forming ability in vitro and tumor formation in SCID mice. Downregulation of TGFßR2 could be attributed to decreased expression of the receptor as evidenced by reduction in the activity of the luciferase gene construct comprising TGFßR2-3' untranslated region (UTR) sequence that binds to miR-21. Moreover, we observed that downregulation of miR-21 enhances luciferase-TGFßR2-3' UTR activity suggesting TGFßR2 as being one of the direct targets of miR-21. Further support is provided by the observation that transfection of TGFßR2 in HCT-116 cells attenuates TCF/LEF luciferase activity, accompanied by decreased expression of ß-catenin, c-Myc and Cyclin-D1. Our current data suggest that miR-21 plays an important role in regulating stemness by modulating TGFßR2 signaling in colon cancer cells.

A Strategic Approach to Identification of Selective Inhibitors of Cancer Stem Cells.

Cancer stem-like cells (CSC) have been implicated in resistance to conventional chemotherapy as well as invasion and metastasis resulting in tumor relapse in majority of epithelial cancers including colorectal cancer. Hence, targeting CSC by small molecules is likely to improve therapeutic outcomes. Glycosaminoglycans (GAGs) are long linear polysaccharide molecules with varying degrees of sulfation that allows specific GAG-protein interaction which plays a key role in regulating cancer hallmarks such as cellular growth, angiogenesis, and immune modulation. However, identifying selective CSC-targeting GAG mimetic has been marred by difficulties associated with isolating and enriching CSC in vitro. Herein, we discuss two distinct methods, spheroid growth and EMT-transformed cells, to enrich CSC and set up medium- and high-throughput screen to identify selective CSC-targeting agents.

Laryngeal histoplasmosis: masquerading malignancy.

Laryngeal histoplasmosis is a very rare cause of laryngitis which is encountered usually in the immunosuppressed states but can also occur in immunologically intact status. We report a rare case of laryngeal histoplasmosis in a man in his 60s, a chronic smoker who presented with a history of progressive hoarseness for 3 months. The glottic growth was biopsied. The rarity of diagnosis was aided by histopathological examination of the tissue, which revealed histoplasmosis. Management was done with intravenous liposomal amphotericin B and oral itraconazole with complete resolution of symptoms.